Finite Automata: DFA and NFA

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Questions and Answers

Which task is NOT typically associated with the applications of Finite Automata (FA)?

  • Lexical analysis in compilers.
  • Pattern matching in text.
  • Controlling packet flow in network protocols.
  • Complex mathematical computations. (correct)

What is a core limitation of Finite Automata (FA) that restricts the complexity of languages it can recognize?

  • Dependence on complex mathematical equations.
  • Restriction to a finite number of states, limiting memory. (correct)
  • Inability to process symbols one at a time.
  • Requirement of infinite processing time.

If a Finite Automaton is visualized as a robot, what aspect of the robot corresponds to the 'states' in the FA?

  • The robot's power source.
  • The robot's memory capacity.
  • The different locations or modes the robot can be in. (correct)
  • The robot's speed of movement.

Which component of the DFA (Deterministic Finite Automaton) 5-tuple specifically dictates how the automaton transitions from one state to another upon reading an input symbol?

<p>δ (Transition function) (A)</p> Signup and view all the answers

In the context of a compiler, which of the following tasks would a Finite Automaton be most suitable for?

<p>Verifying that variable names follow defined rules. (C)</p> Signup and view all the answers

Consider a DFA designed to recognize strings ending with '01'. If the DFA is currently in a state that indicates it has just read a '0', what should the transition for an input of '1' lead to?

<p>A final (accepting) state. (B)</p> Signup and view all the answers

How does a Deterministic Finite Automaton (DFA) differ fundamentally from a Non-Deterministic Finite Automaton (NFA)?

<p>A DFA has exactly one transition for each input symbol from each state, while an NFA can have multiple or none. (A)</p> Signup and view all the answers

In the formal definition of a DFA, what does the element 'F' represent?

<p>The set of final or accepting states (A)</p> Signup and view all the answers

Why is the ε-NFA considered a 'special case' of NFA?

<p>Because it can transition without consuming an input symbol. (B)</p> Signup and view all the answers

What is the significance of a 'final state' in a Finite Automaton?

<p>It signifies that the input string is accepted by the automaton. (D)</p> Signup and view all the answers

Flashcards

Finite Automata (FA)

A computational model with limited memory used to recognize Regular Languages. Operates on input one symbol at a time.

Deterministic Finite Automaton (DFA)

Each input symbol leads to exactly one state transition.

FA Applications

Pattern Matching, Lexical Analysis, Text Processing, Network Protocols

Q in DFA

A finite set of states.

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Σ in DFA

Input alphabet (set of allowed symbols).

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δ in DFA

Transition function (rules for moving between states).

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qâ‚€ in DFA

Initial state (starting point).

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F in DFA

Set of final (accepting) states.

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Study Notes

  • Finite Automata (FA) serves as the simplest computational model
  • FA has limited memory
  • FA is used to recognize Regular Languages
  • FA contains a finite number of states.
  • FA operates on an input string one symbol at a time.
  • The idea uses a robot with no memory that changes states based on input symbols.

Why Finite Automata is Used

  • Pattern Matching, such as finding words in text
  • Lexical Analysis in compilers to check variable names and keywords
  • Text Processing like searching for a string in a document
  • Network Protocols used to control packet flow

Types of Finite Automata

  • Deterministic Finite Automaton (DFA)
  • Non-Deterministic Finite Automaton (NFA)

Special Case of NFA

  • ε-NFA (NFA with ε-moves)

Deterministic Finite Automaton (DFA)

  • DFA is a finite automaton in which each input symbol leads to exactly one state.

Formal Definition of DFA

A DFA is a 5-tuple: DFA=(Q,Σ,δ,q0,F)

  • Q → Finite set of states.
  • Σ → Input alphabet (set of allowed symbols).
  • δ → Transition function (rules for moving between states).
  • qâ‚€ → Initial state (starting point).
  • F → Set of final (accepting) states.

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